Abstract:
:Assessing functional brain activation patterns in neuropsychiatric disorders such as cocaine dependence (CD) or pathological gambling (PG) under naturalistic stimuli has received rising interest in recent years. In this paper, we propose and apply a novel group-wise sparse representation framework to assess differences in neural responses to naturalistic stimuli across multiple groups of participants (healthy control, cocaine dependence, pathological gambling). Specifically, natural stimulus fMRI (N-fMRI) signals from all three groups of subjects are aggregated into a big data matrix, which is then decomposed into a common signal basis dictionary and associated weight coefficient matrices via an effective online dictionary learning and sparse coding method. The coefficient matrices associated with each common dictionary atom are statistically assessed for each group separately. With the inter-group comparisons based on the group-wise correspondence established by the common dictionary, our experimental results demonstrated that the group-wise sparse coding and representation strategy can effectively and specifically detect brain networks/regions affected by different pathological conditions of the brain under naturalistic stimuli.
journal_name
Brain Imaging Behavjournal_title
Brain imaging and behaviorauthors
Ren Y,Fang J,Lv J,Hu X,Guo CC,Guo L,Xu J,Potenza MN,Liu Tdoi
10.1007/s11682-016-9596-4subject
Has Abstractpub_date
2017-08-01 00:00:00pages
1179-1191issue
4eissn
1931-7557issn
1931-7565pii
10.1007/s11682-016-9596-4journal_volume
11pub_type
杂志文章abstract::Prenatal alcohol exposure leads to alterations in cognition, behavior and underlying brain architecture. However, prior studies have not integrated structural and functional imaging data in children with prenatal alcohol exposure. The aim of this study was to characterize disruptions in both structural and functional ...
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